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作 者:Adebayo Augustine Adeniyi Oluwademiladeayo Samuel Adeniyi Adebayo Augustine Adeniyi;Oluwademiladeayo Samuel Adeniyi(Department of Obstetrics and Gynaecology, Afe Babalola University, Ado Ekiti/Federal Teaching Hospital, Ido Ekiti, Nigeria;Department of Computer Science, Bowen University, Iwo, Nigeria)
机构地区:[1]Department of Obstetrics and Gynaecology, Afe Babalola University, Ado Ekiti/Federal Teaching Hospital, Ido Ekiti, Nigeria [2]Department of Computer Science, Bowen University, Iwo, Nigeria
出 处:《E-Health Telecommunication Systems and Networks》2024年第4期87-91,共5页远程医疗系统和网络(英文)
摘 要:Machine Learning (ML) and Artificial Intelligence (AI) are transforming the healthcare landscape by enabling data-driven decision-making, enhancing diagnostic accuracy, and improving patient outcomes. This article reviews the current state of AI and ML in healthcare, explores their applications in diagnosis, treatment planning, and patient management, and discusses the challenges and future potential of these technologies in the medical field.Machine Learning (ML) and Artificial Intelligence (AI) are transforming the healthcare landscape by enabling data-driven decision-making, enhancing diagnostic accuracy, and improving patient outcomes. This article reviews the current state of AI and ML in healthcare, explores their applications in diagnosis, treatment planning, and patient management, and discusses the challenges and future potential of these technologies in the medical field.
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